rca-agent

Autonomous root cause analysis works by deploying a dual-agent process where an RCA Agent and an Auditor Agent independently collect logs, perform research, and debate findings to reach a consensus before executing a fix plan.

Yes, you can automate system diagnostics and recovery by invoking the dual-agent protocol to autonomously collect logs, cross-reference incident patterns, debate findings, and apply fix plans without requiring direct manual involvement.

The dual-agent process in log analysis concurrently deploys an RCA Agent and an Auditor Agent to independently diagnose failures, engage in an adversarial debate, and jointly formulate a fix plan for autonomous execution.

To initiate automated root cause analysis, invoke the skill protocol to automatically start the dual-agent process, which will collect logs, perform online research, debate the root cause, and execute the fix plan.

The adversarial debate approach for system diagnostics requires both agents to independently analyze logs and reach a consensus before applying fixes, meaning resolution speed depends on the agents' ability to converge on a joint fix plan.

Autonomous resolution targets system failures by collecting logs, performing research, and applying fix plans, but its effectiveness depends on the agents' ability to cross-reference incident patterns and successfully debate a consensus fix.